This workflow combines two pre-processing techniques: network analytics and text processing.The goal of the text processing part is to identify the general mood of a user e.g. positive, negative or neutral based on the sentiment of its posts and comments. The goal of the network analytics part is to compute the social status e.g. leader or follower of a user in the forum community. The visualization part condenses the two result sets into a single scatterplot that visualizes the social status as well as the general mood of the users for the slashdot data set.
EXAMPLES Server: 08_Other_Analytics_Types/04_Social_Media/02_NetworkAnalytics_meets_TextProcessing08_Other_Analytics_Types/04_Social_Media/02_NetworkAnalytics_meets_TextProcessing*
Download a zip-archive
* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually